Step 1: Recall the definition. A square matrix \(P=(p_{ij})\) is called a stochastic matrix if every entry \(p_{ij} \geq 0\) and every row sums to 1, that is \(\sum_j p_{ij}=1\) for each \(i\).
Step 2: A positive definite matrix is defined through the sign of the quadratic form \(x^T A x > 0\) for every nonzero \(x\), which has nothing to do with row sums or entry signs.
Step 3: A unitary matrix \(U\) satisfies \(U U^{*} = I\), again a completely different condition unrelated to non negativity or row sums.
Step 4: The stated description, non negative entries with unit row sums, matches exactly and only the definition of a stochastic matrix.
Answer: option (A).